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https://github.com/Z3Prover/z3
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Merge pull request #8702 from Z3Prover/copilot/fix-issues-in-discussion-8701
Add missing solver/optimizer API bindings across language targets
This commit is contained in:
Nikolaj Bjorner
GitHub
commit
e2129a7b81
8 changed files with 399 additions and 0 deletions
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@ -437,6 +437,16 @@ namespace Microsoft.Z3
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}
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/// <summary>
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/// Set an initial value for a variable to guide the optimizer's search heuristics.
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/// </summary>
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public void SetInitialValue(Expr var, Expr value)
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{
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Debug.Assert(var != null);
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Debug.Assert(value != null);
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Native.Z3_optimize_set_initial_value(Context.nCtx, NativeObject, var.NativeObject, value.NativeObject);
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}
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/// <summary>
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/// Optimize statistics.
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/// </summary>
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@ -288,6 +288,68 @@ func (s *Solver) SetInitialValue(variable, value *Expr) {
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C.Z3_solver_set_initial_value(s.ctx.ptr, s.ptr, variable.ptr, value.ptr)
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}
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// Cube extracts a cube (conjunction of literals) from the solver state.
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// vars is an optional list of variables to use as cube variables; if nil, the solver decides.
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// cutoff specifies the backtrack level cutoff for cube generation.
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// Returns a slice of expressions representing the cube, or nil when the search space is exhausted.
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func (s *Solver) Cube(vars []*Expr, cutoff uint) []*Expr {
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varVec := C.Z3_mk_ast_vector(s.ctx.ptr)
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C.Z3_ast_vector_inc_ref(s.ctx.ptr, varVec)
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defer C.Z3_ast_vector_dec_ref(s.ctx.ptr, varVec)
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for _, v := range vars {
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C.Z3_ast_vector_push(s.ctx.ptr, varVec, v.ptr)
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}
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result := C.Z3_solver_cube(s.ctx.ptr, s.ptr, varVec, C.uint(cutoff))
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return astVectorToExprs(s.ctx, result)
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}
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// GetConsequences retrieves fixed assignments for variables given assumptions.
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// Returns the status and the set of consequences as implications.
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func (s *Solver) GetConsequences(assumptions []*Expr, variables []*Expr) (Status, []*Expr) {
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asmVec := C.Z3_mk_ast_vector(s.ctx.ptr)
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C.Z3_ast_vector_inc_ref(s.ctx.ptr, asmVec)
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defer C.Z3_ast_vector_dec_ref(s.ctx.ptr, asmVec)
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varVec := C.Z3_mk_ast_vector(s.ctx.ptr)
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C.Z3_ast_vector_inc_ref(s.ctx.ptr, varVec)
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defer C.Z3_ast_vector_dec_ref(s.ctx.ptr, varVec)
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consVec := C.Z3_mk_ast_vector(s.ctx.ptr)
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C.Z3_ast_vector_inc_ref(s.ctx.ptr, consVec)
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defer C.Z3_ast_vector_dec_ref(s.ctx.ptr, consVec)
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for _, a := range assumptions {
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C.Z3_ast_vector_push(s.ctx.ptr, asmVec, a.ptr)
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}
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for _, v := range variables {
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C.Z3_ast_vector_push(s.ctx.ptr, varVec, v.ptr)
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}
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r := Status(C.Z3_solver_get_consequences(s.ctx.ptr, s.ptr, asmVec, varVec, consVec))
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return r, astVectorToExprs(s.ctx, consVec)
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}
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// SolveFor solves constraints treating given variables symbolically.
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// variables are the variables to solve for, terms are the substitution terms,
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// and guards are the Boolean guards for the substitutions.
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func (s *Solver) SolveFor(variables []*Expr, terms []*Expr, guards []*Expr) {
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varVec := C.Z3_mk_ast_vector(s.ctx.ptr)
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C.Z3_ast_vector_inc_ref(s.ctx.ptr, varVec)
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defer C.Z3_ast_vector_dec_ref(s.ctx.ptr, varVec)
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termVec := C.Z3_mk_ast_vector(s.ctx.ptr)
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C.Z3_ast_vector_inc_ref(s.ctx.ptr, termVec)
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defer C.Z3_ast_vector_dec_ref(s.ctx.ptr, termVec)
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guardVec := C.Z3_mk_ast_vector(s.ctx.ptr)
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C.Z3_ast_vector_inc_ref(s.ctx.ptr, guardVec)
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defer C.Z3_ast_vector_dec_ref(s.ctx.ptr, guardVec)
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for _, v := range variables {
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C.Z3_ast_vector_push(s.ctx.ptr, varVec, v.ptr)
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}
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for _, t := range terms {
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C.Z3_ast_vector_push(s.ctx.ptr, termVec, t.ptr)
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}
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for _, g := range guards {
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C.Z3_ast_vector_push(s.ctx.ptr, guardVec, g.ptr)
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}
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C.Z3_solver_solve_for(s.ctx.ptr, s.ptr, varVec, termVec, guardVec)
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}
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// Model represents a Z3 model (satisfying assignment).
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type Model struct {
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ctx *Context
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@ -397,6 +397,22 @@ public class Optimize extends Z3Object {
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return objectives.ToExprArray();
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}
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/**
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* Set an initial value for a variable to guide the optimizer's search heuristics.
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* This can improve performance when a good initial value is known for the variable.
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*
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* @param var The variable to set an initial value for
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* @param value The initial value for the variable
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* @throws Z3Exception
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**/
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public void setInitialValue(Expr<?> var, Expr<?> value)
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{
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getContext().checkContextMatch(var);
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getContext().checkContextMatch(value);
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Native.optimizeSetInitialValue(getContext().nCtx(), getNativeObject(),
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var.getNativeObject(), value.getNativeObject());
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}
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/**
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* Optimize statistics.
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**/
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@ -464,6 +464,74 @@ public class Solver extends Z3Object {
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};
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}
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/**
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* Return the congruence class representative of the given expression.
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* This is useful for querying the equality reasoning performed by the solver.
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*
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* @param t The expression to find the congruence root for
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* @return The root expression of the congruence class
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* @throws Z3Exception
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**/
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public Expr<?> getCongruenceRoot(Expr<?> t)
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{
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getContext().checkContextMatch(t);
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return Expr.create(getContext(),
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Native.solverCongruenceRoot(getContext().nCtx(), getNativeObject(), t.getNativeObject()));
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}
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/**
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* Return the next element in the congruence class of the given expression.
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* The congruence class forms a circular linked list.
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*
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* @param t The expression to find the next congruent expression for
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* @return The next expression in the congruence class
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* @throws Z3Exception
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**/
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public Expr<?> getCongruenceNext(Expr<?> t)
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{
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getContext().checkContextMatch(t);
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return Expr.create(getContext(),
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Native.solverCongruenceNext(getContext().nCtx(), getNativeObject(), t.getNativeObject()));
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}
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/**
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* Return an explanation for why two expressions are congruent.
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*
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* @param a First expression
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* @param b Second expression
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* @return An expression explaining the congruence between a and b
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* @throws Z3Exception
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**/
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public Expr<?> getCongruenceExplain(Expr<?> a, Expr<?> b)
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{
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getContext().checkContextMatch(a);
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getContext().checkContextMatch(b);
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return Expr.create(getContext(),
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Native.solverCongruenceExplain(getContext().nCtx(), getNativeObject(),
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a.getNativeObject(), b.getNativeObject()));
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}
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/**
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* Solve constraints for given variables, replacing their occurrences by terms.
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* Guards are used to guard substitutions.
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*
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* @param variables Array of variables to solve for
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* @param terms Array of terms to substitute for the variables
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* @param guards Array of Boolean guards for the substitutions
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* @throws Z3Exception
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**/
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public void solveFor(Expr<?>[] variables, Expr<?>[] terms, BoolExpr[] guards)
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{
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ASTVector vars = new ASTVector(getContext());
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ASTVector termVec = new ASTVector(getContext());
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ASTVector guardVec = new ASTVector(getContext());
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for (Expr<?> v : variables) vars.push(v);
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for (Expr<?> t : terms) termVec.push(t);
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for (BoolExpr g : guards) guardVec.push(g);
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Native.solverSolveFor(getContext().nCtx(), getNativeObject(),
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vars.getNativeObject(), termVec.getNativeObject(), guardVec.getNativeObject());
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}
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/**
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* Set an initial value for a variable to guide the solver's search heuristics.
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* This can improve performance when good initial values are known for the problem domain.
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@ -2147,6 +2147,79 @@ export function createApi(Z3: Z3Core): Z3HighLevel {
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return new AstVectorImpl(check(Z3.solver_get_trail(contextPtr, this.ptr)));
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}
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trailLevels(): number[] {
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const trailVec = check(Z3.solver_get_trail(contextPtr, this.ptr));
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const n = Z3.ast_vector_size(contextPtr, trailVec);
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return check(Z3.solver_get_levels(contextPtr, this.ptr, trailVec, n));
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}
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async cube(vars?: AstVector<Name, Bool<Name>>, cutoff: number = 0xFFFFFFFF): Promise<AstVector<Name, Bool<Name>>> {
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const tempVars = vars ?? new AstVectorImpl();
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const result = await asyncMutex.runExclusive(() =>
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check(Z3.solver_cube(contextPtr, this.ptr, tempVars.ptr, cutoff)),
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);
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return new AstVectorImpl(result);
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}
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async getConsequences(
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assumptions: (Bool<Name> | AstVector<Name, Bool<Name>>)[],
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variables: Expr<Name>[],
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): Promise<[CheckSatResult, AstVector<Name, Bool<Name>>]> {
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const asmsVec = new AstVectorImpl();
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const varsVec = new AstVectorImpl();
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const consVec = new AstVectorImpl<Bool<Name>>();
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_flattenArgs(assumptions).forEach(expr => {
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_assertContext(expr);
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Z3.ast_vector_push(contextPtr, asmsVec.ptr, expr.ast);
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});
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variables.forEach(v => {
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_assertContext(v);
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Z3.ast_vector_push(contextPtr, varsVec.ptr, v.ast);
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});
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const r = await asyncMutex.runExclusive(() =>
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check(Z3.solver_get_consequences(contextPtr, this.ptr, asmsVec.ptr, varsVec.ptr, consVec.ptr)),
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);
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let status: CheckSatResult;
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switch (r) {
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case Z3_lbool.Z3_L_FALSE:
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status = 'unsat';
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break;
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case Z3_lbool.Z3_L_TRUE:
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status = 'sat';
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break;
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default:
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status = 'unknown';
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}
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return [status, consVec];
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}
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solveFor(variables: Expr<Name>[], terms: Expr<Name>[], guards: Bool<Name>[]): void {
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const varsVec = new AstVectorImpl();
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const termsVec = new AstVectorImpl();
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const guardsVec = new AstVectorImpl();
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variables.forEach(v => {
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_assertContext(v);
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Z3.ast_vector_push(contextPtr, varsVec.ptr, v.ast);
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});
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terms.forEach(t => {
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_assertContext(t);
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Z3.ast_vector_push(contextPtr, termsVec.ptr, t.ast);
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});
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guards.forEach(g => {
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_assertContext(g);
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Z3.ast_vector_push(contextPtr, guardsVec.ptr, g.ast);
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});
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Z3.solver_solve_for(contextPtr, this.ptr, varsVec.ptr, termsVec.ptr, guardsVec.ptr);
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throwIfError();
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}
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setInitialValue(variable: Expr<Name>, value: Expr<Name>): void {
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_assertContext(variable);
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_assertContext(value);
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Z3.solver_set_initial_value(contextPtr, this.ptr, variable.ast, value.ast);
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throwIfError();
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}
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congruenceRoot(expr: Expr<Name>): Expr<Name> {
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_assertContext(expr);
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return _toExpr(check(Z3.solver_congruence_root(contextPtr, this.ptr, expr.ast)));
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@ -2267,6 +2340,13 @@ export function createApi(Z3: Z3Core): Z3HighLevel {
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return new StatisticsImpl(check(Z3.optimize_get_statistics(contextPtr, this.ptr)));
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}
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setInitialValue(variable: Expr<Name>, value: Expr<Name>): void {
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_assertContext(variable);
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_assertContext(value);
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Z3.optimize_set_initial_value(contextPtr, this.ptr, variable.ast, value.ast);
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throwIfError();
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}
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toString() {
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return check(Z3.optimize_to_string(contextPtr, this.ptr));
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}
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@ -1190,6 +1190,105 @@ export interface Solver<Name extends string = 'main'> {
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*/
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trail(): AstVector<Name, Bool<Name>>;
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/**
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* Retrieve the decision levels for each literal in the solver's trail.
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* The returned array has one entry per trail literal, indicating at which
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* decision level it was assigned.
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*
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* @returns An array of numbers where element i is the decision level of the i-th trail literal
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*
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* @example
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* ```typescript
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* const solver = new Solver();
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* const x = Bool.const('x');
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* solver.add(x);
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* await solver.check();
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* const levels = solver.trailLevels();
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* console.log('Trail levels:', levels);
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* ```
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*/
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trailLevels(): number[];
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/**
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* Extract cubes from the solver for cube-and-conquer parallel solving.
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* Each call returns the next cube (conjunction of literals) from the solver.
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* Returns an empty AstVector when the search space is exhausted.
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*
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* @param vars - Optional vector of variables to use as cube variables
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* @param cutoff - Backtrack level cutoff for cube generation (default: 0xFFFFFFFF)
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* @returns A promise resolving to an AstVector containing the cube literals
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*
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* @example
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* ```typescript
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* const solver = new Solver();
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* const x = Bool.const('x');
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* const y = Bool.const('y');
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* solver.add(x.or(y));
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* const cube = await solver.cube(undefined, 1);
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* console.log('Cube length:', cube.length());
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* ```
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*/
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cube(vars?: AstVector<Name, Bool<Name>>, cutoff?: number): Promise<AstVector<Name, Bool<Name>>>;
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/**
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* Retrieve fixed assignments to a set of variables as consequences given assumptions.
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* Each consequence is an implication: assumptions => variable = value.
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*
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* @param assumptions - Assumptions to use during consequence finding
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* @param variables - Variables to find consequences for
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* @returns A promise resolving to the status and a vector of consequence expressions
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*
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* @example
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* ```typescript
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* const solver = new Solver();
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* const x = Bool.const('x');
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* const y = Bool.const('y');
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* solver.add(x.implies(y));
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* const [status, consequences] = await solver.getConsequences([], [x, y]);
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* ```
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*/
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getConsequences(
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assumptions: (Bool<Name> | AstVector<Name, Bool<Name>>)[],
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variables: Expr<Name>[],
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): Promise<[CheckSatResult, AstVector<Name, Bool<Name>>]>;
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/**
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* Solve constraints treating given variables symbolically, replacing their
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* occurrences by terms. Guards condition the substitutions.
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*
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* @param variables - Variables to solve for
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* @param terms - Substitution terms for the variables
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* @param guards - Boolean guards for the substitutions
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*
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* @example
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* ```typescript
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* const solver = new Solver();
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* const x = Int.const('x');
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* const y = Int.const('y');
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* solver.add(x.eq(y.add(1)));
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* solver.solveFor([x], [y.add(1)], []);
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* ```
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*/
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solveFor(variables: Expr<Name>[], terms: Expr<Name>[], guards: Bool<Name>[]): void;
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/**
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* Set an initial value hint for a variable to guide the solver's search heuristics.
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* This can improve performance when a good initial value is known.
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*
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* @param variable - The variable to set an initial value for
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* @param value - The initial value for the variable
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*
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* @example
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* ```typescript
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* const solver = new Solver();
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* const x = Int.const('x');
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* solver.setInitialValue(x, Int.val(42));
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* solver.add(x.gt(0));
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* await solver.check();
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* ```
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*/
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setInitialValue(variable: Expr<Name>, value: Expr<Name>): void;
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/**
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* Retrieve the root of the congruence class containing the given expression.
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* This is useful for understanding equality reasoning in the solver.
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@ -1357,6 +1456,25 @@ export interface Optimize<Name extends string = 'main'> {
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statistics(): Statistics<Name>;
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/**
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* Set an initial value hint for a variable to guide the optimizer's search heuristics.
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* This can improve performance when a good initial value is known.
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*
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* @param variable - The variable to set an initial value for
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* @param value - The initial value for the variable
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*
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* @example
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* ```typescript
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* const opt = new Optimize();
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* const x = Int.const('x');
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* opt.setInitialValue(x, Int.val(42));
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* opt.add(x.gt(0));
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* opt.maximize(x);
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* await opt.check();
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* ```
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*/
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setInitialValue(variable: Expr<Name>, value: Expr<Name>): void;
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/**
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* Manually decrease the reference count of the optimize
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* This is automatically done when the optimize is garbage collected,
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|
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@ -1989,6 +1989,35 @@ struct
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let from_string x = Z3native.solver_from_string (gc x) x
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let set_initial_value x var value = Z3native.solver_set_initial_value (gc x) x var value
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let cube x variables cutoff =
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let av = Z3native.mk_ast_vector (gc x) in
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List.iter (fun e -> Z3native.ast_vector_push (gc x) av e) variables;
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let result = Z3native.solver_cube (gc x) x av cutoff in
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AST.ASTVector.to_expr_list result
|
||||
|
||||
let get_consequences x assumptions variables =
|
||||
let asms = Z3native.mk_ast_vector (gc x) in
|
||||
let vars = Z3native.mk_ast_vector (gc x) in
|
||||
let cons = Z3native.mk_ast_vector (gc x) in
|
||||
List.iter (fun e -> Z3native.ast_vector_push (gc x) asms e) assumptions;
|
||||
List.iter (fun e -> Z3native.ast_vector_push (gc x) vars e) variables;
|
||||
let r = Z3native.solver_get_consequences (gc x) x asms vars cons in
|
||||
let status = match lbool_of_int r with
|
||||
| L_TRUE -> SATISFIABLE
|
||||
| L_FALSE -> UNSATISFIABLE
|
||||
| _ -> UNKNOWN
|
||||
in
|
||||
(status, AST.ASTVector.to_expr_list cons)
|
||||
|
||||
let solve_for x variables terms guards =
|
||||
let var_vec = Z3native.mk_ast_vector (gc x) in
|
||||
let term_vec = Z3native.mk_ast_vector (gc x) in
|
||||
let guard_vec = Z3native.mk_ast_vector (gc x) in
|
||||
List.iter (fun e -> Z3native.ast_vector_push (gc x) var_vec e) variables;
|
||||
List.iter (fun e -> Z3native.ast_vector_push (gc x) term_vec e) terms;
|
||||
List.iter (fun e -> Z3native.ast_vector_push (gc x) guard_vec e) guards;
|
||||
Z3native.solver_solve_for (gc x) x var_vec term_vec guard_vec
|
||||
end
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -3476,6 +3476,22 @@ sig
|
|||
(** Provide an initial value hint for a variable to the solver.
|
||||
This can help guide the solver to find solutions more efficiently. *)
|
||||
val set_initial_value : solver -> Expr.expr -> Expr.expr -> unit
|
||||
|
||||
(** Extract cubes from the solver for cube-and-conquer parallel solving.
|
||||
vars is a list of variables to use as cube variables; use an empty list for automatic selection.
|
||||
cutoff is the backtrack level cutoff for cube generation.
|
||||
Returns a list of expressions representing the cube literals. *)
|
||||
val cube : solver -> Expr.expr list -> int -> Expr.expr list
|
||||
|
||||
(** Retrieve fixed assignments to variables as consequences given assumptions.
|
||||
Returns the solver status and a list of consequence expressions.
|
||||
Each consequence is an implication: assumptions => variable = value. *)
|
||||
val get_consequences : solver -> Expr.expr list -> Expr.expr list -> status * Expr.expr list
|
||||
|
||||
(** Solve constraints treating given variables symbolically.
|
||||
variables are the variables to solve for, terms are the substitution terms,
|
||||
and guards are Boolean guards for the substitutions. *)
|
||||
val solve_for : solver -> Expr.expr list -> Expr.expr list -> Expr.expr list -> unit
|
||||
end
|
||||
|
||||
(** Fixedpoint solving *)
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue